Distribution strategies for very large 3D image deconvolution algorithms-Reference-Cited by-同舟云学术

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Distribution strategies for very large 3D image deconvolution algorithms

Published:2018-09 Issue: Volume:67 Page:149-160
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Meillier Céline,Ammanouil Rita,Ferrari André,Bianchi Pascal

Funder

Agence Nationale pour la Recherche, France: MAGELLAN

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference28 articles.

1. 3D deconvolution of hyper-spectral astronomical data;Bongard;Mon. Not. R. Astron. Soc.,2011

2. Processing muse hyperspectral data: Denoising, deconvolution and detection of astrophysical sources;Bourguignon;Stat. Methodol.,2012

3. The muse 3D view of the hubble deep field south;Bacon;Astron. Astrophys.,2015

4. LOFAR: The low-frequency array;van Haarlem;Astron. Astrophys.,2013

5. The Square Kilometre Array;Dewdney;IEEE Proc.,2009

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging;Monthly Notices of the Royal Astronomical Society;2020-09-19

2. A parallel and automatically tuned algorithm for multispectral image deconvolution;Monthly Notices of the Royal Astronomical Society;2019-08-09

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